Rows: 201
Columns: 36
$ school_id <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14…
$ school_name <chr> "Національний технічний університет Україн…
$ rank_2024 <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14…
$ index_2024 <dbl> 4.66, 4.94, 5.14, 5.93, 5.98, 7.43, 11.12, 11…
$ qs_rank <dbl> 3, 1, 4, 2, 4, 5, 6, 4, 5, 5, 7, 7, 4, 7, 7, …
$ qs_index <dbl> 0.45, 0.15, 0.60, 0.30, 0.60, 0.75, 0.90, 0.6…
$ scopus_rank <dbl> 5, 1, 9, 2, 6, 3, 21, 11, 4, 24, 30, 7, 23, 3…
$ scopus_index <dbl> 0.65, 0.13, 1.17, 0.26, 0.78, 0.39, 2.73, 1.4…
$ webometrics_rank <dbl> 1, 3, 11, 9, 2, 10, 6, 8, 32, 7, 20, 15, 37, …
$ webometrics_index <dbl> 0.1, 0.3, 1.1, 0.9, 0.2, 1.0, 0.6, 0.8, 3.2, …
$ uimpact_rank <dbl> 5, 6, 2, 4, 1, 5, 6, 4, 4, 4, 6, 5, 6, 4, 6, …
$ uimpact_index <dbl> 0.625, 0.750, 0.250, 0.500, 0.125, 0.625, 0.7…
$ wur_rank <dbl> 4, 4, 2, 4, 1, 4, 5, 4, 6, 3, 6, 4, 6, 6, 6, …
$ wur_index <dbl> 0.60, 0.60, 0.30, 0.60, 0.15, 0.60, 0.75, 0.6…
$ qswur_rank <dbl> 4, 6, 1, 3, 2, 5, 9, 7, 9, 8, 9, 9, 9, 9, 9, …
$ qswur_index <dbl> 0.500, 0.750, 0.125, 0.375, 0.250, 0.625, 1.1…
$ competition_rank <dbl> 1, 3, 2, 8, 4, 5, 7, 16, 11, 30, 9, 14, 13, 2…
$ competition_index <dbl> 0.055, 0.165, 0.110, 0.440, 0.220, 0.275, 0.3…
$ naqa_rank <dbl> 1, 2, 3, 10, 8, 7, 4, 66, 9, 28, 6, 78, 13, 1…
$ naqa_index <dbl> 0.055, 0.110, 0.165, 0.550, 0.440, 0.385, 0.2…
$ patent_rank <dbl> 5, 16, 2, 17, 14, 27, 4, 11, 32, 24, 21, 28, …
$ patent_index <dbl> 0.275, 0.880, 0.110, 0.935, 0.770, 1.485, 0.2…
$ mean_rank <dbl> 24.5, 20.0, 22.0, 19.5, 44.5, 23.5, 62.5, 30.…
$ mean_index <dbl> 1.348, 1.100, 1.210, 1.073, 2.448, 1.293, 3.4…
$ school_abb <chr> "KPI", "KNUTS", "LKPI", "HNUK", "SSU", "LNU",…
$ student_count <dbl> 40500, 25000, 35000, 16000, 14000, 19357, 390…
$ city <chr> "Kyiv", "Kyiv", "Lviv", "Kharkiv", "Sumy", "L…
$ oblast <chr> "Kyiv", "Kyiv", "Lviv", "Kharkiv", "Sumy", "L…
$ region <chr> "North", "North", "West", "East", "North", "W…
$ profile <chr> "polytechnic", "general", "polytechnic", "gen…
$ department_count <dbl> 19, 14, 16, 21, 8, 19, 13, 10, 11, 8, 9, 12, …
$ program_count <dbl> 118, 198, 64, 115, 55, 198, 32, 90, 44, 25, 4…
$ city_population <dbl> 3020000, 3020000, 721301, 1418980, 271000, 72…
$ application_total_count <dbl> 30156, 29812, 31641, 11206, 4075, 31190, 1033…
$ score_mean <dbl> 159.3, 162.3, 160.0, 164.1, 161.1, 159.4, 148…
$ application_budget_count <dbl> 21488, 19616, 21969, 7261, 2991, 21576, 6622,…